Senior AEM Developer

Puratos; Bilbao; Híbrido; EUR 45.000 - 90.000; Jornada completa

Descripción de la vacante

An established industry player seeks a Senior Data Engineer to enhance data pipelines and ETL workflows. This role involves designing and optimizing data solutions using Databricks, Python, and SQL while ensuring data security and governance. Join a dynamic team that values innovation and offers a virtual-first work environment, promoting work-life balance and global collaboration. If you are passionate about data engineering and eager to contribute to transformative projects, this opportunity is perfect for you.

Servicios

Investment in growth through learning opportunities

Flexibility in work environment

Global collaboration opportunities

Virtual-first work environment

Formación

• 5+ Jahre Erfahrung in Databricks und Big Data Verarbeitung.
• Starke Programmierkenntnisse in Python und SQL erforderlich.

Responsabilidades

• Entwerfen, Entwickeln und Optimieren von Datenpipelines und ETL-Workflows mit Databricks.
• Sicherstellen von Datensicherheit und Governance durch Best Practices.

Conocimientos

Databricks

Python

SQL

Azure Data Lake Storage (ADLS)

Data Governance

ETL workflows

Performance tuning

Agile environment

Herramientas

Azure Data Factory (ADF)

Data Cataloging tools

Descripción del empleo

Our goal is to strengthen the brand in Spain. We are looking for an expert to work as a Senior Data Engineer!

What do you need to fulfill this job?

1. Design, develop, and optimize data pipelines and ETL workflows using Databricks.
2. Implement data transformation and processing solutions in Databricks using Python and SQL.
3. Ensure data security, governance, and compliance by following industry best practices.
4. Work with Azure Data Lake Storage (ADLS) to efficiently store, manage, and process large datasets.
5. Collaborate with stakeholders to define data governance frameworks and improve data quality.
6. Integrate Azure Data Factory (ADF) pipelines to support data ingestion and transformation processes.
7. 5+ years of experience in Databricks and big data processing.
8. Hands-on experience with Azure Data Lake (ADLS) for managing structured and unstructured data.
9. Strong programming skills in Python and SQL.
10. Understanding of Data Governance concepts, including data quality, metadata management, and security policies.
11. Experience in performance tuning and optimization of data pipelines.
12. Familiarity with Azure Data Factory (ADF) is a plus.
13. Strong problem-solving skills and ability to work in an agile environment.

What is a plus?

1. Experience with Data Cataloging tools (e.g., Azure Purview, Alation, or Collibra).
2. Knowledge of CI / CD pipelines for data engineering.

About HCLTech :

We are HCLTech, one of the fastest-growing large tech companies in the world with over 225,000 employees across 60 countries, focused on Digital, Engineering, and Cloud. Our diverse, creative, and passionate team drives innovation and excellence.

Why Us?

• End-to-end digital transformation expertise working with leading brands.
• Investment in your growth through learning and career development opportunities.
• Flexibility and empowerment in your work environment.
• Virtual-first work environment promoting work-life balance, with representation from 165 nationalities.
• Global collaboration opportunities.
• A certified great place to work and top employer in 25 countries, including Romania.

If you have a valid disability certificate, please contact us.

We value diversity and inclusion as core principles, aiming to attract, develop, and retain diverse profiles to foster innovation. HCL is an equal opportunity employer, considering all qualified applicants without regard to various protected characteristics.